314 citations · 400 across the 8 of their papers we have counts for
8 papers
Multi-modal and frequency-weighted tensor nuclear norm for hyperspectral image denoising
Xiaozhen Xie, Sheng Liu
Low-rankness is important in the hyperspectral image (HSI) denoising tasks. The tensor nuclear norm (TNN), defined based on the tensor singular value decomposition, is a state-of-t…
Hyperspectral Image Denoising via Multi-modal and Double-weighted Tensor Nuclear Norm
Sheng Liu, Xiaozhen Xie, Wenfeng Kong
Hyperspectral images (HSIs) usually suffer from different types of pollution. This severely reduces the quality of HSIs and limits the accuracy of subsequent processing tasks. HSI…
Enhanced nonconvex low-rank approximation of tensor multi-modes for tensor completion
Haijin Zeng, Xiaozhen Xie, Jifeng Ning
Higher-order low-rank tensor arises in many data processing applications and has attracted great interests. Inspired by low-rank approximation theory, researchers have proposed a s…
Hyperspectral Image Denoising via Global Spatial-Spectral Total Variation Regularized Nonconvex Local Low-Rank Tensor Approximation
Haijin Zeng, Xiaozhen Xie, Jifeng Ning
Hyperspectral image (HSI) denoising aims to restore clean HSI from the noise-contaminated one. Noise contamination can often be caused during data acquisition and conversion. In th…
Hyperspectral Image Restoration via Global Total Variation Regularized Local nonconvex Low-Rank matrix Approximation
Haijin Zeng, Xiaozhen Xie, Jifeng Ning
Several bandwise total variation (TV) regularized low-rank (LR)-based models have been proposed to remove mixed noise in hyperspectral images (HSIs). Conventionally, the rank of LR…
Tensor completion using enhanced multiple modes low-rank prior and total variation
Haijin Zeng, Xiaozhen Xie, Jifeng Ning
In this paper, we propose a novel model to recover a low-rank tensor by simultaneously performing double nuclear norm regularized low-rank matrix factorizations to the all-mode mat…
A Survey on Incorporating Domain Knowledge into Deep Learning for Medical Image Analysis
Xiaozheng Xie, Jianwei Niu, Xuefeng Liu +3
Although deep learning models like CNNs have achieved great success in medical image analysis, the small size of medical datasets remains a major bottleneck in this area. To addres…
Crowd Behavior Simulation with Emotional Contagion in Unexpected Multi-hazard Situations
Mingliang Xu, Xiaozheng Xie, Pei Lv +6
In this paper we present a novel crowd simulation method by modeling the generation and contagion of panic emotion under multi-hazard circumstances. Specifically, we first classify…